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Základy Mixtools 3000
Andrýsek, Josef ; Pištěk, M. ; Šmídl, Václav ; Šterbák, O. ; Tkáč, M. ; Týnovský, M. ; Váňová, Irena
This paper is a first step in a larger project that aims is to create a toolbox for support of dynamic distributed decision making under uncertainty. This toolbox is designed as a new generation of the software platform that serves for testing of various decision-making-related algorithms. The new framework will replace older system mixtools, from which it inherits the main low-level algorithmic base.
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První experimenty s distribuovaným Bayesovským rozhodováním
Šmídl, Václav ; Andrýsek, Josef
Decision-making under uncertainty is a natural part of everyday life of every human being. In societal science, various aspects of decision-making were studied, mostly in the area of psychology. In technical science, the process was formalized using probability theory yielding so called Bayesian theory of decision making. However, one of the key assumptions of this theory is that the decision-maker is the only entity that intentionally influences the system. This assumption is certainly violated in more complicated systems, such as human society or distributed control. Recently, a series of papers attempts to offer an extension of the Bayesian theory for many decision-makers, i.e. decentralized stochastic control. Since there are no proofs of optimality of the proposed Bayesian distributed decision making available in the literature, we study this approach via experimental simulation studies.
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Bayesovské odhadování délky kolony
Dohnal, Pavel
The paper deals with an application of Bayes for estimation of the queue length in junction arm. In Bayesian view the concept of probability is not interpreted in terms of limits of relative frequencies but more generally as a subjective measure of belief of a rationally and consistently reasoning person which is used to describe quantitatively the uncertain relationship between the statistician and the external world. This model splits controlled networks into microregions. The queue length and the occupancy of each junction approach are the basic state quantities for fully expressed traffic situation at given time instant. The occupancy determines relative time of the detector activation during sample period, i.e. the proportion of time when detector has been occupied and total time of measuring period. The optimization criterion for this attitude is minimization of the queue length. For clearness, the model is derived for simple junction.
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Stavový model dopravního mikroregionu
Dohnal, Pavel
The papers deals with an application od Bayes for estimationof the queue lenth in junction arm. This model splits controlled networks into microregions. The queue length and the occupancy of each junction approach are the bacis state quantities for fully expressed traffic situation at given time instant. The optimization criterion for this attitude is minimalization of the queue length. For clearness, the model is derived for simple junction.
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